Automating GitHub Workflows with Claude 4

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Claude Opus 4 is Anthropic’s most superior and highly effective AI mannequin to this point, setting a brand new benchmark for coding, reasoning, and long-running duties. It may autonomously deal with advanced, multi-hour duties, sustaining focus and delivering distinctive outcomes over hundreds of steps.

On this tutorial, we are going to learn to use Claude Opus 4 to automate GitHub workflows, which can be utilized for resolving GitHub points, performing code opinions, and managing pull requests (PRs). We are going to learn to arrange the Claude App in your GitHub repository and invoke it instantly by feedback.

Setting Up Claude Code

1. Run the next command in your terminal to put in Claude Code globally:

   npm set up -g @anthropic-ai/claude-code

2. Go to the Anthropic Console and create an account.
3. Add no less than $10 in credit to your account utilizing a credit score or debit card. 
4. Launch Claude Code by navigating to your mission listing and working:
5. Observe the prompts to connect with the Anthropic Console:

• A browser window will open, prompting you to log in to your Anthropic account.
• Copy the authentication code generated by the console and paste it into the Claude Code terminal.

As soon as authenticated, Claude Code will likely be prepared to make use of.

Organising GitHub App Utilizing Claude Code

1. Open your terminal and sort claude to launch Claude Code.
2. As soon as inside Claude Code, kind /install-github-app to start establishing the Claude App for GitHub Actions.
   
3. Navigate to your GitHub repository and create a pull request. Merge the pull request to make sure the repository is prepared for Claude integration.
   
   Screenshot from kingabzpro/bbc-news-class-mlops
4. Open your GitHub Motion workflow file (github/workflows/claude.yml) and add the next configuration:

   mannequin: 'claude-sonnet-4-20250514'

   
   Screenshot from .github/workflows/claude.yml

   This ensures that the most recent Claude 4 mannequin is used throughout the Claude App.

5. Go to the Claude GitHub App web page: https://github.com/apps/claude.
6. Set up the app and grant it entry to your repository.

Creating the Pull Request Utilizing the GitHub Points

 
For this tutorial, we have now chosen the Challenge #9 from the kingabzpro/bbc-news-class-mlops github repository. 

1. Go to Challenge #9 within the repository.
2. Within the remark part of the difficulty, kind the next command:

   @claude add the docker compose file based mostly on the difficulty description

   The @claude point out triggers the GitHub Motion, permitting Claude to investigate the difficulty description and use it as context to generate the required code. 

   
   Screenshot from kingabzpro/bbc-news-class-mlops
3. As soon as Claude completes the duty, it is going to create all the mandatory recordsdata and supply an choice to instantly create a pull request.
   
   Screenshot from kingabzpro/bbc-news-class-mlops
4. Click on on the Create PR hyperlink offered by Claude and merge the adjustments into your repository.

Screenshot from kingabzpro/bbc-news-class-mlops

The adjustments will likely be applied, and generally, Claude resolves the difficulty with 90% accuracy based mostly on the offered context.

Different Use Circumstances of Github Claude App

 
We’ve used the GitHub situation description to make edits and create the pull request. You may strive the next use case too utilizing the identical workflow:

1. Automated Code Overview: Analyze pull requests (PRs) for code high quality, potential bugs, and adherence to requirements.
2. PR Administration: Create, replace, and handle pull requests robotically.
3. Challenge Triage: Analyze points, categorize them, and counsel or implement fixes.
4. Debugging and Bug Fixing: Find bugs, implement fixes, and create PRs for assessment.
5. Documentation Updates: Routinely replace documentation based mostly on code adjustments.
6. Refactoring Code: Enhance code readability, efficiency, or maintainability.

Ultimate Ideas

 
Anthropic is rapidly rising because the go-to AI mannequin supplier for coding and software program engineering duties. The corporate affords a complete ecosystem that automates all the improvement course of, together with constructing, testing, debugging, deploying, and monitoring functions. With Claude Code and its extensions, builders can seamlessly automate all these steps, making it a strong instrument for streamlining workflows.
 
 

Abid Ali Awan (@1abidaliawan) is a licensed knowledge scientist skilled who loves constructing machine studying fashions. At present, he’s specializing in content material creation and writing technical blogs on machine studying and knowledge science applied sciences. Abid holds a Grasp’s diploma in know-how administration and a bachelor’s diploma in telecommunication engineering. His imaginative and prescient is to construct an AI product utilizing a graph neural community for college kids scuffling with psychological sickness.